Literature DB >> 16374433

A genome-wide linkage scan for genes controlling variation in urinary albumin excretion in type II diabetes.

A S Krolewski1, G D Poznik, G Placha, L Canani, J Dunn, W Walker, A Smiles, B Krolewski, D G Fogarty, D Moczulski, S Araki, Y Makita, D P K Ng, J Rogus, R Duggirala, S S Rich, J H Warram.   

Abstract

The main hallmark of diabetic nephropathy is elevation in urinary albumin excretion. We performed a genome-wide linkage scan in 63 extended families with multiple members with type II diabetes. Urinary albumin excretion, measured as the albumin-to-creatinine ratio (ACR), was determined in 426 diabetic and 431 nondiabetic relatives who were genotyped for 383 markers. The data were analyzed using variance components linkage analysis. Heritability (h2) of ACR was significant in diabetic (h2=0.23, P=0.0007), and nondiabetic (h2=0.39, P=0.0001) relatives. There was no significant difference in genetic variance of ACR between diabetic and nondiabetic relatives (P=0.16), and the genetic correlation (rG=0.64) for ACR between these two groups was not different from 1 (P=0.12). These results suggested that similar genes contribute to variation in ACR in diabetic and nondiabetic relatives. This hypothesis was supported further by the linkage results. Support for linkage to ACR was suggestive in diabetic relatives and became significant in all relatives for chromosome 22q (logarithm of odds, LOD=3.7) and chromosome 7q (LOD=3.1). When analyses were restricted to 59 Caucasian families, support for linkage in all relatives increased and became significant for 5q (LOD=3.4). In conclusion, genes on chromosomes 22q, 5q and 7q may contribute to variation in urinary albumin excretion in diabetic and nondiabetic individuals.

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Year:  2006        PMID: 16374433     DOI: 10.1038/sj.ki.5000023

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  41 in total

1.  Heritability of measures of kidney disease among Zuni Indians: the Zuni Kidney Project.

Authors:  Jean W MacCluer; Marina Scavini; Vallabh O Shah; Shelley A Cole; Sandra L Laston; V Saroja Voruganti; Susan S Paine; Alfred J Eaton; Anthony G Comuzzie; Francesca Tentori; Dorothy R Pathak; Arlene Bobelu; Jeanette Bobelu; Donica Ghahate; Mildred Waikaniwa; Philip G Zager
Journal:  Am J Kidney Dis       Date:  2010-06-19       Impact factor: 8.860

2.  A genome-wide search for linkage to chronic kidney disease in a community-based sample: the SAFHS.

Authors:  Nedal H Arar; Venkata S Voruganti; Subrata D Nath; Farook Thameem; Richard Bauer; Shelley A Cole; John Blangero; Jean W MacCluer; Anthony G Comuzzie; Hanna E Abboud
Journal:  Nephrol Dial Transplant       Date:  2008-04-28       Impact factor: 5.992

Review 3.  Meta-analysis of genome-wide linkage scans for renal function traits.

Authors:  Madhumathi Rao; Amy K Mottl; Shelley A Cole; Jason G Umans; Barry I Freedman; Donald W Bowden; Carl D Langefeld; Caroline S Fox; Qiong Yang; Adrienne Cupples; Sudha K Iyengar; Steven C Hunt; Thomas A Trikalinos
Journal:  Nephrol Dial Transplant       Date:  2011-05-28       Impact factor: 5.992

4.  Relationship between ADIPOQ gene, circulating high molecular weight adiponectin and albuminuria in individuals with normal kidney function: evidence from a family-based study.

Authors:  C Menzaghi; S De Cosmo; M Copetti; L Salvemini; C De Bonis; D Mangiacotti; G Fini; F Pellegrini; V Trischitta
Journal:  Diabetologia       Date:  2011-01-13       Impact factor: 10.122

Review 5.  The genetic risk of kidney disease in type 2 diabetes.

Authors:  Marcus G Pezzolesi; Andrzej S Krolewski
Journal:  Med Clin North Am       Date:  2012-12-07       Impact factor: 5.456

6.  Investigating the effect of genetic background on proteinuria and renal injury using two hypertensive strains.

Authors:  Matthew Packard; Yasser Saad; William T Gunning; Shalini Gupta; Joseph Shapiro; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2009-01-28

7.  Linkage analysis of glomerular filtration rate in American Indians.

Authors:  Amy K Mottl; Suma Vupputuri; Shelley A Cole; Laura Almasy; Harald H H Göring; Vincent P Diego; Sandra Laston; Nora Franceschini; Nawar M Shara; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Jean W MacCluer; Jason G Umans; Kari E North
Journal:  Kidney Int       Date:  2008-08-13       Impact factor: 10.612

8.  A single nucleotide polymorphism within the acetyl-coenzyme A carboxylase beta gene is associated with proteinuria in patients with type 2 diabetes.

Authors:  Shiro Maeda; Masa-aki Kobayashi; Shin-ichi Araki; Tetsuya Babazono; Barry I Freedman; Meredith A Bostrom; Jessica N Cooke; Masao Toyoda; Tomoya Umezono; Lise Tarnow; Torben Hansen; Peter Gaede; Anders Jorsal; Daniel P K Ng; Minoru Ikeda; Toru Yanagimoto; Tatsuhiko Tsunoda; Hiroyuki Unoki; Koichi Kawai; Masahito Imanishi; Daisuke Suzuki; Hyoung Doo Shin; Kyong Soo Park; Atsunori Kashiwagi; Yasuhiko Iwamoto; Kohei Kaku; Ryuzo Kawamori; Hans-Henrik Parving; Donald W Bowden; Oluf Pedersen; Yusuke Nakamura
Journal:  PLoS Genet       Date:  2010-02-12       Impact factor: 5.917

9.  Poly(ADP-ribose) polymerase (PARP) inhibition counteracts multiple manifestations of kidney disease in long-term streptozotocin-diabetic rat model.

Authors:  Hanna Shevalye; Roman Stavniichuk; Weizheng Xu; Jie Zhang; Sergey Lupachyk; Yury Maksimchyk; Viktor R Drel; Elizabeth Z Floyd; Barbara Slusher; Irina G Obrosova
Journal:  Biochem Pharmacol       Date:  2009-11-27       Impact factor: 5.858

10.  Diabetic nephropathy.

Authors:  Themis Zelmanovitz; Fernando Gerchman; Amely Ps Balthazar; Fúlvio Cs Thomazelli; Jorge D Matos; Luís H Canani
Journal:  Diabetol Metab Syndr       Date:  2009-09-21       Impact factor: 3.320

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